C. Eric

1.3k total citations
41 papers, 743 citations indexed

About

C. Eric is a scholar working on Computational Mechanics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, C. Eric has authored 41 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 12 papers in Artificial Intelligence and 12 papers in Statistics and Probability. Recurrent topics in C. Eric's work include Sparse and Compressive Sensing Techniques (14 papers), Statistical Methods and Inference (12 papers) and Bayesian Methods and Mixture Models (6 papers). C. Eric is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Statistical Methods and Inference (12 papers) and Bayesian Methods and Mixture Models (6 papers). C. Eric collaborates with scholars based in United States, Poland and China. C. Eric's co-authors include Kenneth Lange, Tamara G. Kolda, Richard G. Baraniuk, Hua Zhou, Genevera I. Allen, Gary K. Chen, David W. Scott, Diego Ortega‐Del Vecchyo, John Michael O. Rañola and Paul M. Thompson and has published in prestigious journals such as Bioinformatics, Technometrics and Scientific Reports.

In The Last Decade

C. Eric

38 papers receiving 720 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. Eric United States	13	279	170	157	147	130	41	743
Madeleine Udell United States	15	194 0.7×	83 0.5×	112 0.7×	144 1.0×	49 0.4×	41	628
Mátyás A. Sustik United States	7	272 1.0×	15 0.1×	228 1.5×	233 1.6×	63 0.5×	10	749
Daniel Dunlavy United States	14	339 1.2×	555 3.3×	141 0.9×	263 1.8×	61 0.5×	34	1.1k
Dijun Luo United States	16	275 1.0×	56 0.3×	213 1.4×	58 0.4×	99 0.8×	36	754
Karim Lounici France	7	198 0.7×	24 0.1×	113 0.7×	375 2.6×	25 0.2×	12	719
Zhaoran Wang United States	15	197 0.7×	27 0.2×	51 0.3×	208 1.4×	23 0.2×	53	615
Jeongyoun Ahn United States	13	279 1.0×	8 0.0×	195 1.2×	91 0.6×	232 1.8×	37	839
Cun-Hui Zhang United States	11	194 0.7×	8 0.0×	99 0.6×	79 0.5×	104 0.8×	16	825
Pradeep Ravikumar United States	9	359 1.3×	8 0.0×	80 0.5×	178 1.2×	122 0.9×	17	846

Countries citing papers authored by C. Eric

Since Specialization

Citations

This map shows the geographic impact of C. Eric's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. Eric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Eric more than expected).

Fields of papers citing papers by C. Eric

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Eric. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. Eric. The network helps show where C. Eric may publish in the future.

Co-authorship network of co-authors of C. Eric

This figure shows the co-authorship network connecting the top 25 collaborators of C. Eric. A scholar is included among the top collaborators of C. Eric based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Eric. C. Eric is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Xinkai, et al.. (2024). Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation. The American Statistician. 78(4). 379–390. 2 indexed citations

Liu, Xiaoqian, et al.. (2023). A convex-nonconvex strategy for grouped variable selection. Electronic Journal of Statistics. 17(2). 1 indexed citations

Zhou, Hua, et al.. (2023). Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. Journal of Computational and Graphical Statistics. 32(3). 938–949. 5 indexed citations

Liu, Xiaoqian, C. Eric, & Kenneth Lange. (2022). A Sharper Computational Tool for Regression. Technometrics. 65(1). 117–126. 3 indexed citations

Liu, Xiaoqian, et al.. (2021). An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 4432–4435.

Vardhan, Madhurima, John Gounley, C. Eric, et al.. (2021). Non-invasive characterization of complex coronary lesions. Scientific Reports. 11(1). 8145–8145. 26 indexed citations

Jeng, X. Jessie, et al.. (2020). FastLORS: Joint modelling for expression quantitative trait loci mapping in R. Stat. 9(1). 1 indexed citations

Eric, C., et al.. (2019). Tensor canonical correlation analysis. Stat. 8(1). 8 indexed citations

Lusch, Bethany, C. Eric, & J. Nathan Kutz. (2019). Shape Constrained Tensor Decompositions. 287–297. 1 indexed citations

10.

Eric, C., Genevera I. Allen, & Richard G. Baraniuk. (2017). Convex biclustering: Convex Biclustering. arXiv (Cornell University). 73(1). 10–19. 26 indexed citations

11.

Xu, Jason, C. Eric, & Kenneth Lange. (2017). Generalized Linear Model Regression under Distance-to-set Penalties. neural information processing systems. 30. 1385–1395. 3 indexed citations

12.

Chen, Gary K., C. Eric, John Michael O. Rañola, & Kenneth Lange. (2015). Convex Clustering: An Attractive Alternative to Hierarchical Clustering. PLoS Computational Biology. 11(5). e1004228–e1004228. 34 indexed citations

13.

Eric, C. & Kenneth Lange. (2014). A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization. American Mathematical Monthly. 121(2). 95–108. 6 indexed citations

14.

Eric, C. & Kenneth Lange. (2014). Splitting Methods for Convex Clustering. Figshare. 108 indexed citations

15.

Eric, C. & Kenneth Lange. (2014). Stable estimation of a covariance matrix guided by nuclear norm penalties. Computational Statistics & Data Analysis. 80. 117–128. 11 indexed citations

16.

Eric, C., Genevera I. Allen, Hua Zhou, et al.. (2013). Imaging genetics via sparse canonical correlation analysis. PubMed. 2013. 740–743. 38 indexed citations

17.

Eric, C., Hua Zhou, & Kenneth Lange. (2013). Distance majorization and its applications. Mathematical Programming. 146(1-2). 409–436. 21 indexed citations

18.

Eric, C., Hua Zhou, Gary K. Chen, Diego Ortega‐Del Vecchyo, & Kenneth Lange. (2012). Genotype imputation via matrix completion. Genome Research. 23(3). 509–518. 46 indexed citations

19.

Eric, C. & Tamara G. Kolda. (2012). On Tensors, Sparsity, and Nonnegative Factorizations. SIAM Journal on Matrix Analysis and Applications. 33(4). 1272–1299. 182 indexed citations

20.

Eric, C., S. B. Mende, Mei‐Ching Fok, & G. D. Reeves. (2006). Proton auroral intensifications and injections at synchronous altitude. Geophysical Research Letters. 33(6). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact